Assistant Manager - Data Engineering | Quality Role
Core
Build and run automated data quality controls, reconciliations, and matching checks for an enterprise finance data platform to ensure data trust for financial control, tax, and management reporting.
Role type
Senior Data Quality Engineer (Finance Domain)
Builds
Automated quality checks, reconciliation logic, matching rules, and data quality dashboards for finance data.
Domain
Finance (Banking, General Ledger, Tax, Management Reporting)
Deliverable
production ML models
Required skills
Databricks (PySpark, Spark SQL), Advanced SQL, Python, Data quality rule design, Reconciliation and matching logic, Exception handling, Dashboarding (Power BI), Data governance (Microsoft Purview)
Preferred skills
Delta Live Tables, Great Expectations, Snowflake, Databricks Certified Data Engineer Associate, DAMA CDMP
Technologies
Azure, Databricks, Snowflake, Power BI, Microsoft Purview, PySpark, Spark SQL
Responsibilities
Define data quality rules with business analysts, build automated checks in Databricks pipelines, build reconciliations between source systems and reports, set up exception handling, build data quality dashboards, investigate recurring data issues, support testing and production monitoring.
Seniority
Mid-Senior, potential team lead
